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Courses

  • 2 Lessons

    PostgreSQL Fundamentals

    In this interactive digital course, you will learn about the history and lineage of PostgreSQL, as well as its database basics and other PostgreSQL commands.

  • 2 Lessons

    Practical Demo of Amazon Q and Amazon Bedrock

    Amazon Q is a generative AI-powered assistant designed for business use. Amazon Bedrock is a serverless service that hosts foundation models in a secure way.

  • 1 Lesson

    Responsible Artificial Intelligence Practices

    In this course, you will learn about responsible AI practices. First, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempt to overcome and explore the core dimensions of responsible AI. Then, you will dive into some topics for developing responsible AI systems. You will be introduced to the services and tools that AWS offers to help you with responsible AI. You will also learn about responsible AI considerations for selecting a model and preparing data for your AI systems. Finally, you learn about transparent and explainable models. You will gain a solid understanding for what it means for a model to be transparent and explainable. You will also explore tradeoff considerations for transparent models and the principles of human-centered design for explainable AI.

  • 2 Lessons

    Security, Compliance, and Governance for AI Solutions

    In this course, you will learn how to do the following: Identify and describe common governance and compliance considerations for AI systems, Describe the AWS services that assist with applying governance controls and achieving compliance objectives, Describe common data governance strategies, Describe common approaches for implementing governance strategies, List and describe security and privacy considerations for AI systems, Describe AWS services and features for securing AI systems, Describe tasks like source citation and documenting data origins, and lastly, Describe best practices for secure data engineering.

  • 2 Lessons

    The Elements of Data Science

    In this course, we will discuss how to build and continuously improve machine learning models. Topics include the following elements of data science: problem formulation, exploratory data analysis, feature engineering, model training, tuning and debugging, as well as model evaluation and productionizing.

  • 1 Lesson

    Understanding AWS Networking Gateways

    Do you know all about internet gateways and Network Address Translation (NAT) gateways, but when it comes to other gateway types, you start to struggle? Then this course is for you. You will learn about the different networking gateways that Amazon Web Services (AWS) provides. You will also go through scenarios where each can be used, and untangle when to use which gateway for AWS Direct Connect.

  • 2 Lessons

    Unleashing Innovation: The Generative AI Revolution

    There is a high-level discussion about how these enable artificial intelligence and machine learning to actually learn, which leads into comprehensive coverage about deep learning and artificial neural networks - the technologies which underpin generative AI.

  • 2 Lessons

    Use sponsored ads to help grow your brand

    Welcome to Use sponsored ads to help grow your brand. This course provides an overview of the available products you can use to help you grow your brand on Amazon and achieve your advertising objectives by using multiple advertising solutions in conjunction to engage shoppers at every stage of the journey.

  • 1 Lesson

    Using the AWS Schema Conversion Tool

    ⛔️ This has been decommissioned by AWS.

    Alternatively, you can use the course from the AWS Skill Builder site by going to this link: AWS Skill Builder

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